Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning

@article{Zhang2022ProbabilisticPP,
  title={Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning},
  author={Tianfang Zhang and Rasmus Bokrantz and Jimmy Olsson},
  journal={Physics in Medicine \& Biology},
  year={2022},
  volume={67}
}
Objective. We propose a semiautomatic pipeline for radiation therapy treatment planning, combining ideas from machine learning–automated planning and multicriteria optimization (MCO). Approach. Using knowledge extracted from historically delivered plans, prediction models for spatial dose and dose statistics are trained and furthermore systematically modified to simulate changes in tradeoff priorities, creating a set of differently biased predictions. Based on the predictions, an MCO problem is… 
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